In the article “Usage of a responsible Gambling tool: a descriptive analysis and latent class analysis of user behavior” PhD student David Forsström from the Department of Psychology, Stockholm University, studied how players are using Playscan. He examined the Playscan 3-data of 9 528 online gamblers who used the tool voluntarily and investigated if there are different subclasses of users by conducting a latent class analysis. He observed number of visits to the site, self-tests made and advice used.
The study has shown that the tool has a high initial usage and a low repeated usage. Latent class analysis yielded five distinct classes of users: self-testers, multi-function users, advice users, site visitors, and non-users. Multinomial regression revealed that classes were associated with different risk levels of excessive gambling. The self-testers and multi-function users used the tool to a higher extent and were found to have a greater risk of excessive gambling than the other classes.
Professor Per Carlbring states, “The low usage of the tool is not a disappointment. As long as the right ones actually use the tool, which is exactly what we found. People with a higher risk level are using Playscan more.”
Find the study here